---
title: "ageitgey/face_recognition: papers citing it"
description: "4 papers in the tracked journals link to the GitHub repository ageitgey/face_recognition in their Crossref records, the first in 2019; most of them (2) in 2022."
url: https://scholar4ai.com/code/github-ageitgey-face-recognition
markdown_url: https://scholar4ai.com/code/github-ageitgey-face-recognition.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the GitHub repository ageitgey/face_recognition in their Crossref records, the first in 2019; most of them (2) in 2022. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# ageitgey/face_recognition: papers linking to it

Research papers in the 480 tracked journals that link to ageitgey/face_recognition (https://github.com/ageitgey/face_recognition), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- GitHub
- 56,864 stars
- 13,665 forks
- Python
- license MIT
- created 2017
- https://github.com/ageitgey/face_recognition

All repositories: https://scholar4ai.com/code.md

## Key findings

- 4 papers in the tracked journals link to the GitHub repository ageitgey/face_recognition in their Crossref records, the first in 2019; most of them (2) in 2022.
- By category: Information Systems (2) and AI (2); the journals with the most are Electronic Markets (1), Information Processing & Management (1) and Electronic Commerce Research and Applications (1).

## By year

*Papers linking to ageitgey/face_recognition by publication year*

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2022 | 2 |
| 2023 | 1 |

## Journals

*Journals whose papers link to ageitgey/face_recognition most*

| Journal | Papers |
|---|---:|
| [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | 1 |
| [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 1 |
| [Electronic Commerce Research and Applications](https://scholar4ai.com/journals/electronic-commerce-research-and-applications.md) | 1 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 |

## Papers

*Papers linking to ageitgey/face_recognition, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-12-13 | [The evolution of political memes: Detecting and characterizing internet memes with multi-modal deep learning](https://doi.org/10.1016/j.ipm.2019.102170) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | David M. Beskow, Sumeet Kumar, Kathleen M. Carley | 125 | cites it |
| 2022-07-14 | [Microexpressions in digital humans: perceived affect, sincerity, and trustworthiness](https://doi.org/10.1007/s12525-022-00563-x) | [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | Aliya Tastemirova, Johannes Schneider, Leona Chandra Kruse et al. | 29 | cites it |
| 2023-11-30 | [Confusable facial expression recognition with geometry-aware conditional network](https://doi.org/10.1016/j.patcog.2023.110174) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Tong Liu, Jing Li, Jia Xin Wu et al. | 18 | cites it |
| 2022-07-01 | [Do facial images matter? Understanding the role of private information disclosure in crowdfunding markets](https://doi.org/10.1016/j.elerap.2022.101173) | [Electronic Commerce Research and Applications](https://scholar4ai.com/journals/electronic-commerce-research-and-applications.md) | Zhiyuan Qi, Dongyu Chen, Jennifer Xu | 14 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). ageitgey/face_recognition: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-ageitgey-face-recognition

```bibtex
@misc{scholar4ai-code-github-ageitgey-face-recognition,
  author = {{Scholar4AI}},
  title = {ageitgey/face_recognition: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-ageitgey-face-recognition}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).